We are delighted to share this new research article “Feature-based intelligent models for optimisation of percussive drilling” done by the PhD student, Kenneth Afebu, co-supervised with Dr Evangelos Papatheou, published at Neural Networks.

Highlights:
• Impact motions of bit-rock interaction during percussive drilling are studied.
• Feature-based classifiers are adopted in categorising these impact motions.
• Simulated and experimental impact motions data are merged to train network models.
• Feature extraction from raw data is essential for optimising networks’ performance.
• 42% and 67% of the networks yield accuracies greater than 91% and 77% respectively.

https://www.sciencedirect.com/science/article/pii/S0893608022000314